A computationally efficient technique for estimating the parameters of polynomial-phase signals from noisy observations
Farquharson, Maree L., O'Shea, Peter J., & Ledwich, Gerard F. (2005) A computationally efficient technique for estimating the parameters of polynomial-phase signals from noisy observations. IEEE Transactions on Signal Processing, 53(8), pp. 3337-3342.
Many real-world applications are characterized by the presence of polynomial phase signals embedded in noise. These applications include radar, sonar, telemetry, communications, and power systems. In a significant number of these applications, it is highly desirable to be able to accurately estimate the polynomial phase signal parameters. This correspondence presents a computationally efficient method for estimating any or all of the parameters of polynomial-phase signals in white Gaussian noise and provides a first-order statistical analysis of the technique. Simulations are also presented to support the theoretical analysis.
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|Item Type:||Journal Article|
|Keywords:||Higher order statistics, parameter estimation polynomial approximation|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering|
|Copyright Owner:||Copyright 2005 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||19 Oct 2007|
|Last Modified:||29 Feb 2012 13:12|
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